Can We Apply Principles From Social Networking To Healthcare Informatics For Intelligent Data Analytics?
Ubiquitous sensor networks have the potential to generate vast streams of data. Making sense of the data represents a considerable challenge. In one approach, some may react only to exceptions. A low-level data mining layer may abstract data into “cubes” of information suitable for reality mining a...
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Bibliographic Details
| Main Authors: |
Shields, Andrew,
Datta, Shoumen |
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| Other Authors: |
Massachusetts Institute of Technology. Auto-ID Laboratory |
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| Format: | Article
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| Language: | English |
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| Published: |
2008
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| Subjects: |
Intelligent Decision Systems, Systems Engineering, Remote Monitoring, Glucose Sensors, ICT, Semantics, Informatics, Analytics, Electronic Medical Records, EMRS, Interoperability, Mash-Up, SOA, Agents, AI, Biomarkers, Cardiovascular Diseases, Early Detection, Preventative Medicine, Social Networking, Reality Mining, Data Mining, Linguistics, RFID, Supply Chain Management, WSN, Nash Equilibrium, Information Asymmetry, Generalized Autoregressive Conditional Heteroskedasticity, VAR, ARMA, Nano-sensors
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| Online Access: | http://hdl.handle.net/1721.1/43944
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